{"id":"W4238176709","doi":"10.7765/9781847794666.00003","title":"Preface","year":2013,"lang":"en","type":"book-chapter","venue":"Manchester University Press eBooks","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Neutrality; Politics; Political science; Polity; Dream; State (computer science); Government (linguistics); Consolidation (business); Law; Sociology; Economics; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008456954,0.0007023073,0.0006540605,0.001955123,0.002334366,0.00478675,0.001368772,0.001231273,0.3813223],"category_scores_gemma":[0.005629553,0.0003387163,0.0004332763,0.002088546,0.0009046791,0.003067305,0.002013332,0.0033989,0.2581809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002067929,"about_ca_system_score_gemma":0.002014373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004370079,"about_ca_topic_score_gemma":0.006085688,"domain_scores_codex":[0.9990051,0.0001345842,0.00004891146,0.000153956,0.0005786599,0.00007873427],"domain_scores_gemma":[0.9976527,0.0004159533,0.00008943411,0.000251681,0.001229223,0.0003609922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001096377,0.0000107685,0.00006824818,0.00005619657,0.000001021325,0.00002705911,0.0001142728,0.00003356003,0.00005332196,0.007218467,0.9620279,0.03037831],"study_design_scores_gemma":[8.58059e-7,0.000003373882,0.00009808402,0.00004214186,3.789443e-7,0.00002437842,0.00005901331,0.00001128226,0.0000183115,0.0009788709,0.9987617,0.000001574042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006867792,0.007810933,0.002903995,0.01680691,0.05401231,0.000174154,0.004060889,0.0009916021,0.9125525],"genre_scores_gemma":[0.002596207,0.00287775,0.001099154,0.002805833,0.00553401,0.00007928899,0.002910528,0.0004450818,0.9816522],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3813223,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08335106861171405,"score_gpt":0.251428742583695,"score_spread":0.168077673971981,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}